Performance analysis of cross ambiguity function-Direction finding technique in multipath environments
2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
Item Usage Stats
MetadataShow full item record
In this paper, recently proposed Cross Ambiguity Function Direction Finding (CAF-DF) array signal processing technique, which make use of the cross ambiguity function calculation, is compared with the MUltiple SIgnal Classification (MUSIC) and Space Alternating Generalized Expectation Maximization (SAGE) techniques. The CAF-DF estimates direction of arrival (DOA), time delay, Doppler shift and amplitude corresponding to each impinging signal onto a sensor array in an iterative manner. Performances of the algorithms are tested on synthetic signals in terms of root Mean Squared Error (rMSE) for different Signal-to-Noise Ratio (SNR) values based on Monte Carlo trials. For statistical comparisons Cramer-Rao lower bound is included. Obtained results show that CAF-DF technique is superior to its alternatives for medium and low SNR values. ©2008 IEEE.
KeywordsArray signal processing techniques
Cross ambiguity functions
Generalized expectation maximizations
Monte Carlo trials
Multiple Signal classifications
Root mean squared errors
Direction of arrival
Probability density function
Radio direction finding systems
Room and pillar mining
Signal filtering and prediction
Wireless telecommunication systems
Signal to noise ratio
Published Version (Please cite this version)http://dx.doi.org/10.1109/SIU.2008.4632672
Showing items related by title, author, creator and subject.
Kutay, M.Alper, Ozaktas Haldun, M.; Onural Levent, Arikan Orhan (1995)The ordinary Fourier transform is suited best for analysis and processing of time-invariant signals and systems. When we are dealing with time-varying signals and systems, filtering in fractional Fourier domains might allow ...
Optimal signaling and detector design for power constrained on-off keying systems in Neyman-Pearson framework Dulek, B.; Gezici, S. (2011)Optimal stochastic signaling and detector design are studied for power constrained on-off keying systems in the presence of additive multimodal channel noise under the Neyman-Pearson (NP) framework. The problem of jointly ...
Goken, C.; Gezici, S.; Arikan, O. (2010)In this paper, stochastic signaling is studied for scalar valued binary communications systems over additive noise channels in the presence of an average power constraint. For a given decision rule at the receiver, the ...